Your browser doesn't support javascript.
loading
MrIML: Multi-response interpretable machine learning to model genomic landscapes.
Fountain-Jones, Nicholas M; Kozakiewicz, Christopher P; Forester, Brenna R; Landguth, Erin L; Carver, Scott; Charleston, Michael; Gagne, Roderick B; Greenwell, Brandon; Kraberger, Simona; Trumbo, Daryl R; Mayer, Michael; Clark, Nicholas J; Machado, Gustavo.
Afiliación
  • Fountain-Jones NM; School of Natural Sciences, University of Tasmania, Hobart, Tas., Australia.
  • Kozakiewicz CP; School of Biological Sciences, Washington State University, Pullman, Washington, USA.
  • Forester BR; Department of Biology, Colorado State University, Fort Collins, Colorado, USA.
  • Landguth EL; School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA.
  • Carver S; School of Natural Sciences, University of Tasmania, Hobart, Tas., Australia.
  • Charleston M; School of Natural Sciences, University of Tasmania, Hobart, Tas., Australia.
  • Gagne RB; Department of Pathobiology, Wildlife Futures Program, University of Pennsylvania School of Veterinary Medicine, Philadelphia, Pennsylvania, USA.
  • Greenwell B; Department of Operations, Business Analytics, and Information Systems, University of Cincinnati, Cincinnati, Ohio, USA.
  • Kraberger S; Biodesign Center for Fundamental & Applied Microbiomics, Arizona State University, Tempe, Arizona, USA.
  • Trumbo DR; Department of Biology, Colorado State University, Fort Collins, Colorado, USA.
  • Mayer M; Actuarial Department, La Mobilière, Bern, Switzerland.
  • Clark NJ; UQ Spatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Gatton, Qld., Australia.
  • Machado G; Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA.
Mol Ecol Resour ; 21(8): 2766-2781, 2021 Nov.
Article en En | MEDLINE | ID: mdl-34448358
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Populus / Lynx Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Mol Ecol Resour Año: 2021 Tipo del documento: Article País de afiliación: Australia
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Populus / Lynx Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Mol Ecol Resour Año: 2021 Tipo del documento: Article País de afiliación: Australia